Graph learning and network science for natural language processing

Graph learning and network science for natural language processing

"Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network...

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Detalles Bibliográficos
Otros Autores: Garg, Muskan, editor (editor), Gupta, Amit Kumar, 1981- editor, Prasad, Rajesh, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL ; Abingdon, Oxon : CRC Press is an imprint of Taylor & Francis Group 2023.
Edición:First edition
Colección:Computational intelligence techniques.
Materias:
Natural language processing (Computer science)
Graph theory.
System analysis.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009809022306719
Tabla de Contenidos:
  • Chapter 1. Graph of Words Model for Natural Language Processing / Sharayu Mirasdar and Mangesh Bedekar
  • Chapter 2. Application of NLP Using Graph Approaches / Narendra Singh Yadav, Siddharth Jain, Archit Gupta and Devansh Srivastava
  • Chapter 3. Graph-based Extractive Approach for English and Hindi Text Summarization / Rekha Jain, Manisha Sharma, Pratistha Mathur and Surbhi Bhatia
  • Chapter 4. Graph Embeddings for Natural Language Processing / Jyoti Gavhane, Rajesh Prasad and Rajeev Kumar
  • Chapter 5. Natural Language Processing with Graph and Machine Learning Algorithms-based Large-scale Text Document Summarization and Its Applications / Shaikh Ashfaq Amir, Pathan Mohd. Shafi, Vinod V. Kimbahune and Vijaykumar S. Bidve
  • Chapter 6. Ontology and Knowledge Graphs for Semantic Analysis in Natural Language Processing / Ujwala Bharambe, Chhaya Narvekar and Prakash Andugula
  • Chapter 7. Ontology and Knowledge Graphs for Natural Language Processing / Jayashree Prasad, Rahesha Mulla, Namrata Naikwade, B. Suresh Kumar and Suresh Shanmugasundaram
  • Chapter 8. Perfect Coloring by HB Color Matrix Algorithm Method / A. A. Bhange and H. R. Bhapkar
  • Chapter 9. Cross-lingual Word Sense Disambiguation Using Multilingual Co-occurrence Graphs / Neha Janu, Anjali Singh, Meenakshi Nawal, Sunita Gupta, Tapesh Kumar and Vijendra Singh
  • Chapter 10. Study of Current Learning Techniques for Natural Language Processing for Early Detection of Lung Cancer / Vanita D. Jadhav and Lalit V. Patil
  • Chapter 11. A Critical Analysis of Graph Topologies for Natural Language Processing and Their Applications / Meenakshi Nawal, Sunita Gupta, Neha Janu and Carlos M. Travieso-Gonzalez
  • Chapter 12. Graph-based Text Document Extractive Summarization / Sheetal Sonawane
  • Chapter 13. Applications of Graphical Natural Language Processing / S. V. Gayetri Devi, T. Nalini and K. G. S. Venkatesan
  • Chapter 14. Analysis of Medical Images Using Machine Learning Techniques / Nikita Jain, Mahesh Kumar Joshi, Vishal Jain and Manish Dubey.

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